•   Modelling, Simulations and Optimization of Energy Systems ELA19ED02-3003 10.01.2022-01.05.2022  6 credits  (ELA20D-V, ...) +-
    Competence objectives of the study unit
    Students will learn relevant modelling and optimization skills and apply them to energy system planning problems.
    The course focuses on both theory and use of software.
    Prerequisites
    No prerequisites.
    Content of the study unit
    - Modelling technical and economic considerations as optimization problems
    - Learning to model and solve certain types of optimization problems using software
    - Using Matlab, Excel and specialized software to perform calculations and present results
    Assessment criteria
    Assessment criteria – satisfactory (1-2)
    35% – 60% of course work and exam completed
    Assessment criteria – good (3-4)
    60% – 85% of course work and exam completed
    Assessment criteria – excellent (5)
    85% – 100% of course work and exam completed
    Name of lecturer(s)

    Ronnie Sundsten

    Learning material

    Shared documents with theory and exercises
    Software tutorial materials
    Course literature

    Learning methods

    Lectures
    Computer lab sessions
    Home assignments and small projects

    Objects, timing and methods of assessment

    Homework assignments
    Project work
    Exam

    Teaching language

    English

    Timing

    10.01.2022 - 01.05.2022

    Enrollment date range

    15.11.2021 - 16.01.2022

    Group(s)
    • ELA20D-V
    • ET21S-V
    Responsible unit

    Faculty of Technology and Seafaring

    Small group(s)
    • ELA20-V-E (Size: 20.
    • ET21 (Size: 20.
    Teachers and responsibilities

    Anders Skjäl

    Degree Programme(s)

    Degree Programme in Electrical Engineering and Automation

    Campus

    Vasa, Wolffskavägen 33

    Assessment scale

    H-5

    Exam dates and retake possibilities

    An exam scheduled during normal lecture hours towards the end of the course.

    Content scheduling

    Lectures 72 h
    Home assignments and projects 50 h
    Self studies 40 h

    Assessment criteria
    Assessment criteria – satisfactory (1-2)

    35% - 60% of course work and exam completed

    Assessment criteria – good (3-4)

    60% - 85% of course work and exam completed

    Assessment criteria – excellent (5)

    85% - 100% of course work and exam completed